Ontology-based data mining approach implemented for sport marketing

Since sport marketing is a commercial activity, precise customer and marketing segmentation must be investigated frequently and it would help to know the sport market after a specific customer profile, segmentation, or pattern come with marketing activities has found. Such knowledge would not only help sport firms, but would also contribute to the broader field of sport customer behavior and marketing. This paper proposes using the Apriori algorithm of association rules, and clustering analysis based on an ontology-based data mining approach, for mining customer knowledge from the database. Knowledge extracted from data mining results is illustrated as knowledge patterns, rules, and maps in order to propose suggestions and solutions to the case firm, Taiwan Adidas, for possible product promotion and sport marketing.

[1]  Roger B. Mason,et al.  Residual Brand Awareness Following the Termination of a Long‐term Event Sponsorship and the Appointment of a New Sponsor , 2006 .

[2]  Shu-Hsien Liao,et al.  Expert system methodologies and applications - a decade review from 1995 to 2004 , 2005, Expert Syst. Appl..

[3]  Leon Sterling,et al.  Generating rules from examples of human multiattribute decision making should be simple , 2006, Expert Syst. Appl..

[4]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[5]  Balaji Padmanabhan,et al.  Knowledge refinement based on the discovery of unexpected patterns in data mining , 2002, Decis. Support Syst..

[6]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[7]  Basilis Boutsinas,et al.  On distributing the clustering process , 2002, Pattern Recognit. Lett..

[8]  Shu-Hsien Liao,et al.  Mining product maps for new product development , 2008, Expert Syst. Appl..

[9]  Ioannis N. Kouris,et al.  Using Information Retrieval techniques for supporting data mining , 2005, Data Knowl. Eng..

[10]  Yi-Fan Wang,et al.  A personalized recommender system for the cosmetic business , 2004, Expert Syst. Appl..

[11]  R. Kozma.  Learning with Media , 1991 .

[12]  Asunción Gómez-Pérez,et al.  Methodologies, tools and languages for building ontologies: Where is their meeting point? , 2003, Data Knowl. Eng..

[13]  Simon Lin,et al.  Data mining issues and opportunities for building nursing knowledge , 2003, J. Biomed. Informatics.

[14]  Dirk Van den Poel,et al.  Constrained optimization of data-mining problems to improve model performance: A direct-marketing application , 2005, Expert Syst. Appl..

[15]  Alan Tapp,et al.  Scoring with the Net - the Cybermarketing of English Football Clubs , 2000, Electron. Mark..

[16]  Daniel C. Funk,et al.  The role of socio-psychological and culture-education motives in marketing international sport tourism: a cross-cultural perspective. , 2007 .

[17]  L. Chalip,et al.  Why travel to the FIFA World Cup? Effects of motives, background, interest, and constraints , 2004 .

[18]  Michael A. Morgan.  ‘We're not the Barmy Army!’: reflections on the sports tourist experience , 2007 .

[19]  Alexander Azerovich Musaev.  Analytic information technologies in oil refinery , 2004, Expert Syst. Appl..

[20]  Shu-Hsien Liao,et al.  Mining customer knowledge for electronic catalog marketing , 2004, Expert Syst. Appl..

[21]  Dieter Fensel,et al.  Ontologies: A silver bullet for knowledge management and electronic commerce , 2002 .

[22]  Siddhartha Bhattacharyya,et al.  Adequacy of training data for evolutionary mining of trading rules , 2004, Decis. Support Syst..

[23]  Michael K. Brady,et al.  Investigating the role of the physical environment in hedonic service consumption: an exploratory study of sporting events , 2002 .

[24]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[25]  Daniel A. Keim,et al.  Pixel based visual data mining of geo-spatial data , 2004, Comput. Graph..

[26]  Martin Polley,et al.  Moving the goalposts: a history of sport and society since 1945. , 1998 .

[27]  Shu-Hsien Liao,et al.  Mining customer knowledge for product line and brand extension in retailing , 2008, Expert Syst. Appl..

[28]  Peter Naur.  Documentation problems: ALGOL 60 , 1963, CACM.